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About the Bundle
Fear of missing out on data science and machine learning?
This eBook bundle gives you a fun way to start learning data science with Python. It gives you a thorough introduction Python's most important libraries for data science: NumPy and Pandas. 100% Based on puzzle-based learning - scientifically proven to generate 44% better learning retention and efficiency.
About the Books
"Students who were quizzed after studying a short text could recall significantly more information than students who were asked to reread it" (Karpicke, 2007b)
Fear of missing out on data science and machine learning? The trend of automation is not coming to a halt soon. Machines take over more and more traditional jobs from human workers.
But also highly-skilled knowledge workers such as doctors, traditional computer scientists, teachers, and financial analysts are under the danger to be replaced by machines.
This is the era of machine learning and data science.
And missing out on data science can be the #1 most costly mistake of your career.
But you're in luck: this eBook package gives you a fun way to start learning data science with Python. It gives you a thorough introduction in one of Python's most important libraries for data science and machine learning: NumPy.
I have written the book on the basis of the proven method of solving practical code puzzles and practice testing -- to make learning more fun, faster, and smarter.
And here's the best thing: practice testing is scientifically proven to generate up to 44% better learning retention and efficiency.
So what's in it for you?
As an additional bonus, you can track your individual NumPy coding skill level throughout the book. After reading the book, you'll know exactly how good you are in comparison to your friends and colleagues.
To get the most out of this book, you should know the basics of Python — e.g., you have already read my previous book "Coffee Break Python".
The book is packed with 211 pages of in-depth NumPy content:
Have your "Coffee Break NumPy" now! ;)
Data is the new oil -- whoever develops the skills to harvest this largely untapped asset class will increase their value in the 21st-century marketplace.
Due to Moore's Law -- the number of transistors on a microchip doubles roughly every two years -- it became financially viable to store, process, and analyze hundreds of terabytes of data.
By reading this book, you'll learn the powerful skill of analyzing and processing data with Python's Pandas framework.
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms...
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